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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
28.06.2023
DOI
https://doi.org/10.7307/ptt.v35i3.203
ISSUE
2023 (Vol 35), Issue 3
LICENSE
Copyright (c) 2024 Željko Ivanović
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

DYMEMULP – Dynamic Model of Process Optimisation in Regional Logistics

Authors:Željko Ivanović

Abstract

The expansion of logistics requirements, limited space and strict requirements of generators of logistics requests (GLR) in terms of service quality complicate the supply of the region, resulting in the necessity to improve logistics models (MoL). Proximity to water, the presence of ports and piers along the coast, new eco vehicles and the development of cooperation between land and water transport are elements for improving the existing MoLs in an economically and environmentally acceptable way. Research on the development of an improved multi-echelon logistics network with variable terminals including the coordination and cooperation of a heterogeneous group of transport agencies for the realisation of goods flows represents an innovation in regional logistics (RL). This article presents an integrated MoL development process using dynamic optimisation with a focus on spatial, temporal, transport, economic and environmental components.

Keywords:regional logistics, logistics model, optimisation, coordination and cooperation

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